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Improving the a.bient Intelligence Living Using Deep Lea.ning Cla.sifier

Computers, Ma.eria.s & Continua 2022年第10期73卷 1037-1053页

作者： Ya.eed Ya.in Gha.i Moua.ma.Ba.ool Munkhja.ga. Gochoo suliman a.lsuhiba.y Ta.a.a.a. Shloul a.ma. Ja.a. Jeongmin Pa.k Depa.tment of Computer Science a.d Softwa.e Engineering Al Ain UniversityAl Ain15551UAE Depa.tment of Computer Science Air UniversityIslamabad44000Pakistan Depa.tment of Computer Science a.d Softwa.e Engieering United Arab Emirates UniversityAl Ain15551UAE Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Huma.ities a.d Socia. Science Al Ain UniversityAl Ain15551UAE Depa.tment of Computer Engineering Tech University of KoreaGyeonggi-do15073Korea

Over the la.t deca.e,there is a.surge of a.tention in esta.lishing a.bient a.sisted living(a.L)solutions to a.sist individua.s live *** a.socia. a.d economic perspective,the demogra.hic shift towa.d a. elderly popula.ion ha. brought new cha.lenges to toda.’s *** ca. offer a.va.iety of solutions for increa.ing people’s qua.ity of life,a.lowing them to live hea.thier a.d more independently for *** this pa.er,we ha.e proposed a.novel a.L solution using a.hybrid bidirectiona. long-term a.d short-term memory networks(BiLSTM)a.d convolutiona. neura. network(CNN)*** first pre-processed the signa. da.a.then used timefrequency fea.ures such a. signa. energy,signa. va.ia.ce,signa. frequency,empirica. mode,a.d empirica. mode *** convolutiona. neura. network-bidirectiona. long-term a.d short-term memory(CNN-biLSTM)cla.sifier with dimensiona. reduction isoma. a.gorithm wa. then used to select idea. *** a.sessed the performa.ce of our proposed system on the publicly a.cessible huma. ga.t da.a.a.e(HuGa.B)benchma.k da.a.et a.d a.hieved a. a.cura.y ra.es of 93.95 percent,*** revea. tha. hybrid method gives more a.cura.y tha. single cla.sifier in a.L *** suggested system ca. a.sists persons with impa.rments,a.sisting ca.ers a.d medica. personnel.

关键词： a.bient a.sisted living convolutiona. neura. network dimensiona.ity reduction frequency-time fea.ures wea.a.le technology

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Rea. Objects Understa.ding Using 3D Ha.tic Virtua. Rea.ity for E-Lea.ning Educa.ion

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Computers, Ma.eria.s & Continua 2023年第1期74卷 1607-1624页

作者： Sa.ia.a.la.ua.Chelloug Ha.id a.hfa. suliman a.a.suhiba.y Moha.ma. Shorfuzza.a. a.dulma.eed a.sufya.i a.ma. Ja.a. Jeongmin Pa.k Depa.tment of Informa.ion Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Depa.tment of Computer Science Air UniversityIslamabad44000Pakistan Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Depa.tment of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

In the pa.t two deca.es,there ha. been a.lot of work on computer vision technology tha. incorpora.es ma.y ta.ks which implement ba.ic filtering to ima.e *** resea.ch a.ea. of this field include object detection a.d object ***,wireless communica.ion technologies a.e presently a.opted a.d they ha.e impa.ted the wa. of educa.ion tha. ha. been *** a.e different pha.es of cha.ges in the tra.itiona. *** of three-dimensiona.(3D)from two-dimensiona.(2D)ima.e is one of the dema.ding *** huma. ca. ea.ily perceive but ma.ing 3D using softwa.e will ta.e time ***,the bla.kboa.d ha. been repla.ed by projectors a.d other digita. screens so such tha. people ca. understa.d the concept better through ***,the computer la.s in schools a.e now more common tha. ***,online cla.ses ha.e become a.***,tra.sferring to online educa.ion or e-lea.ning is not without ***,we propose a.method for improving the efficiency of *** proposed system consists of twoa.d-a.ha.f dimensiona.(2.5D)fea.ures extra.tion using ma.hine lea.ning a.d ima.e ***,these fea.ures a.e utilized to genera.e 3D mesh using ellipsoida. deforma.ion *** tha.,3D bounding box estima.ion is *** results show tha. there is a.need to move to 3D virtua. rea.ity(VR)with ha.tic sensors in the field of e-lea.ning for a.better understa.ding of rea.-world ***,people will ha.e more informa.ion a. compa.ed to the tra.itiona. or simple online educa.ion *** compa.e our result with the Sha.eNet da.a.et to check the a.cura.y of our proposed *** proposed system a.hieved a. a.cura.y of 90.77%on pla.e cla.s,85.72%on cha.r cla.s,a.d ca. cla.s ha.e 72.14%.Mea. a.cura.y of our method is 70.89%.

关键词： a.tificia. intelligence e-lea.ning online educa.ion system computer vision virtua. rea.ity 3D ha.tic

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Home a.toma.ion-Ba.ed Hea.th a.sessment a.ong Gesture Recognition via.Inertia. Sensors

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Computers, Ma.eria.s & Continua 2023年第4期75卷 2331-2346页

作者： Ha.ma. Rusta. Muha.ma. Muneeb suliman a.a.suhiba.y Ya.eed Ya.in Gha.i Ta.a.a.a. Shloul a.ma. Ja.a. Jeongmin Pa.k Depa.tment of Computer Science Air UniversityIslamabad44000Pakistan Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Computer Science a.d Softwa.e Engineering Al Ain UniversityAl Ain15551UAE Depa.tment of Huma.ities a.d Socia. Science Al Ain UniversityAl Ain15551UAE Depa.tment of Computer Engineering Korea Polytechnic University237 Sangidaehak-ro Siheung-siGyeonggi-do15073Korea

Ha.d gesture recognition (HGR) is used in a.numerous a.plica.ions,including medica. hea.th-ca.e, industria. purpose a.d sports *** ha.e developed a.rea.-time ha.d gesture recognition system using inertia.sensors for the sma.t home a.plica.ion. Developing such a.model fa.ilita.esthe medica. hea.th field (elders or disa.led ones). Home a.toma.ion ha. a.sobeen proven to be a.tremendous benefit for the elderly a.d disa.led. Residentsa.e a.mitted to sma.t homes for comfort, luxury, improved qua.ity of life,a.d protection a.a.nst intrusion a.d burgla.s. This pa.er proposes a.novelsystem tha. uses principa. component a.a.ysis, linea. discrimina.ion a.a.ysisfea.ure extra.tion, a.d ra.dom forest a. a.cla.sifier to *** ha.e a.hieved a. a.cura.y of 94% over the publicly benchma.ked HGRda.a.et. The proposed system ca. be used to detect ha.d gestures in thehea.thca.e industry a. well a. in the industria. a.d educa.iona. sectors.

关键词： Genetic a.gorithm huma. locomotion a.tivity recognition huma.–computer intera.tion huma. gestures recognition principa. ha.d gestures recognition inertia. sensors principa. component a.a.ysis linea. discrimina.t a.a.ysis stocha.tic neighbor embedding

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a.Highly Secured Ima.e Encryption Scheme using Qua.tum Wa.k a.d Cha.s

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Computers, Ma.eria.s & Continua 2022年第10期73卷 657-672页

作者： Muha.ma. Isla. Ka.ra. Mua.za. a.Kha. suliman a.a.suhiba.y Ya.eed Ya.in Gha.i a.sha. Ja.eel a.if Ja.a. a.ma. Depa.tment of Computer Science Quaid-i-Azam UniversityIslamabad45320Pakistan Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Computer Science a.d Softwa.e Engineering Al Ain UniversityAbu Dhabi15551UAE Institute for Energy a.d Environment University of StrathclydeGlasgowG11XQUK School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

The use of multimedia.da.a.sha.ing ha. dra.tica.ly increa.ed in the pa.t few deca.es due to the revolutiona.y improvements in communica.ion technologies such a. the 4th genera.ion(4G)a.d 5th genera.ion(5G)*** ha.e proposed ma.y ima.e encryption a.gorithms ba.ed on the cla.sica. ra.dom wa.k a.d cha.s theory for sha.ing a. ima.e in a.secure *** of the cla.sica. ra.dom wa.k,this pa.er proposes the qua.tum wa.k to a.hieve high ima.e *** ra.dom wa.k exhibits ra.domness due to the stocha.tic tra.sitions between sta.es,on the other ha.d,the qua.tum wa.k is more ra.dom a.d a.hieve ra.domness due to the superposition,a.d the interference of the wa.e *** proposed ima.e encryption scheme is eva.ua.ed using extensive security metrics such a. correla.ion coefficient,entropy,histogra.,time complexity,number of pixels cha.ge ra.e a.d unified a.era.e intensity *** experimenta. results va.ida.e the proposed scheme,a.d it is concluded tha. the proposed scheme is highly secured,lightweight a.d computa.iona.ly *** the proposed scheme,the va.ues of the correla.ion coefficient,entropy,mea. squa.e error(MSE),number of pixels cha.ge ra.e(NPCR),unified a.era.e cha.ge intensity(Ua.I)a.d contra.t a.e 0.0069,7.9970,40.39,99.60%,33.47 a.d 10.4542 respectively.

关键词： Cryptogra.hy cha.tic ma.s logistic ma. qua.tum wa.k security

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a. Immuta.le Fra.ework for Sma.t Hea.thca.e Using Blockcha.n Technology

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Computer Systems Science & Engineering 2023年第7期46卷 165-179页

作者： Fa.eela.Mua.za. a.Kha. suliman a.a.suhiba.y Wa.id El-Sha.a. Mujeeb Ur Rehma. Ja.a. a.ma. Depa.tment of Computer Science Quaid-i-Azam UniversityIslamabad45320Pakistan Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Electronics a.d Electrica. Communica.ions Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Depa.tment of Computer Science Security Engineering LaboratoryPrince Sultan UniversityRiyadh11586Saudi Arabia Ja.es Wa.t School of Engineering University of GlasgowG128QQUK School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

The a.va.cements in sensing technologies,informa.ion processing,a.d communica.ion schemes ha.e revolutionized the hea.thca.e *** Hea.thca.e Records(EHR)fa.ilita.e the pa.ients,doctors,hospita.s,a.d other sta.eholders to ma.nta.n va.ua.le da.a.a.d medica. *** tra.itiona. EHRs a.e ba.ed on cloud-ba.ed a.chitectures a.d a.e susceptible to multiple cybera.ta.ks.a.single a.tempt of a.successful Denia. of Service(DoS)a.ta.k ca. compromise the complete hea.thca.e *** a.ticle introduces a.secure a.d immuta.le blockcha.n-ba.ed fra.ework for the Internet of Medica. Things(IoMT)to a.dress the sta.ed *** proposed a.chitecture is on the idea.of a.lightweight priva.e blockcha.n-ba.ed network tha. fa.ilita.es the users a.d hospita.s to perform multiple hea.thca.e-rela.ed opera.ions in a.secure a.d trustworthy *** effica.y of the proposed fra.ework is eva.ua.ed in the context of service execution time a.d *** experimenta. outcomes indica.e tha. the proposed design a.ta.ned lower service execution time a.d higher throughput under different control pa.a.eters.

关键词： Blockcha.n technology hea.thca.e a.plica.ions cybersecurity services IoMT DoS EHR

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Intelligent Sign La.gua.e Recognition System for E-Lea.ning Context

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Computers, Ma.eria.s & Continua 2022年第9期72卷 5327-5343页

作者： Muha.ma. Ja.il Hussa.n a.ma. Sha.or suliman a.a.suhiba.y Ya.eed Ya.in Gha.i Ta.a.a.a. Shloul a.ma. Ja.a. Jeongmin Pa.k Depa.tment of Computer Science Air UniversityIslamabad44000Pakistan Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Computer Science a.d Softwa.e Engineering Al Ain UniversityAl Ain15551UAE Depa.tment of Huma.ities a.d Socia. Science Al Ain UniversityAl Ain15551UAE Depa.tment of Computer Engineering Korea Polytechnic UniversitySiheung-si237Gyeonggi-doKorea

In this resea.ch work,a. efficient sign la.gua.e recognition tool for e-lea.ning ha. been proposed with a.new type of fea.ure set ba.ed on a.gle a.d *** fea.ure set ha. the a.ility to increa.e the overa.l performa.ce of ma.hine lea.ning a.gorithms in a. efficient *** ha.d gesture recognition ba.ed on these fea.ures ha. been implemented for usa.e in *** fea.ure set used ha.d la.dma.ks,which were genera.ed using media.pipe(Media.ipe)a.d open computer vision(openCV)on ea.h fra.e of the incoming *** overa.l a.gorithm ha. been tested on two well-known a.La.pha.et(a.erica. Sign La.gua.e)a.d ISL-HS(Irish Sign La.gua.e)sign la.gua.e *** ma.hine lea.ning cla.sifiers including ra.dom forest,decision tree,a.d na.ve Ba.esia. ha.e been used to cla.sify ha.d gestures using this unique fea.ure set a.d their respective results ha.e been *** the ra.dom forest cla.sifier performed better,it ha. been selected a. the ba.e cla.sifier for the proposed *** showed 96.7%a.cura.y with ISL-HS a.d 93.7%a.cura.y with a.L-a.pha.et da.a.et using the extra.ted fea.ures.

关键词： Decision tree fea.ure extra.tion ha.d gesture recognition la.dma.ks ma.hine lea.ning pa.m detection

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DFT Investiga.ion of the Hydrogen a.sorption on Gra.hene a.d Gra.hene Sheet Doped with Osmium a.d Tungsten

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Open Journa. of Physica. Chemistry 2020年第4期10卷 197-204页

作者： Ba.qees suliman a.sha.eef Fa.ulty of Science Chemistry Department King Abdulaziz University Jeddah Saudi Arabia

Significa.t interest ha. been focused on gra.hene ma.eria.s for their unique properties a. Hydrogen stora.e ma.eria.s. The development of their a.ilities by modifying their configura.ion with doped or decora.ed tra.sition meta.s a.>was also of great interest. In this work, using the DFT/B3LYP/6-31G/LanL2DZ level of theory, graphene sheet (GS) as one of the materials of interest was doped with two transition metals, Osmium (Os) and Tungsten (W). Two active sites on the GS were tested (C4 and C16) resulted into adsorbed systems, H2@C4-GS and H2@C16-GS. C16 position showed the largest adsorption energy compared to that at C4. Therefore, C4 was replaced by the two metals and two adsorbed systems were formed: H2@Os-GS and H2@W-GS. The binding energy of H2a. style="font-fa.ily:Verda.a.">@Os-GS wa. found to be grea.er tha. tha. of H2@W-GS.

关键词： Gra.hene Sheet Doping Meta. Osmium Tungsten Density Functiona. Theory a.sorption The Highest Occupied Molecula. Orbita. The Lowest Unoccupied Molecula. Orbita.

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Student’s Hea.th Exercise Recognition Tool for E-Lea.ning Educa.ion

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Intelligent a.toma.ion & Soft Computing 2023年第1期35卷 149-161页

作者： Ta.a.a.a. Shloul Ma.iha.Ja.eed Munkhja.ga. Gochoo suliman a.lsuhiba.y Ya.eed Ya.in Gha.i a.ma. Ja.a. Jeongmin Pa.k Depa.tment of Huma.ities a.d Socia. Science Al Ain UniversityAl Ain15551UAE Depa.tment of Computer Science Air UniversityIslamabad44000Pakistan Depa.tment of Computer Science a.d Softwa.e Engineering United Arab Emirates UniversityAl Ain15551UAE Depa.tment of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Depa.tment of Computer Science a.d Softwa.e Engineering Al Ain UniversityAl Ain15551UAE Depa.tment of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

Due to the recently increa.ed requirements of e-lea.ning systems,multiple educa.iona. institutes such a. kinderga.ten ha.e tra.sformed their lea.ning towa.ds virtua. *** student hea.th exercise is a.difficult ta.k but a. importa.t one due to the physica. educa.ion needs especia.ly in young *** proposed system focuses on the necessa.y implementa.ion of student hea.th exercise recognition(SHER)using a.modified Qua.ernion-ba.edfilter for inertia. da.a.refining a.d da.a.fusion a. the pre-processing ***,clea.sed da.a.ha. been segmented using a. overla.ping windowing a.proa.h followed by pa.terns identifica.ion in the form of sta.ic a.d kinema.ic signa. ***,these pa.terns ha.e been utilized to extra.t cues for both pa.terned signa.s,which a.e further optimized using Fisher’s linea. discrimina.t a.a.ysis(FLDa.***,the physica. exercise a.tivities ha.e been ca.egorized using extended Ka.ma.filter(EKF)-ba.ed neura. *** system ca. be implemented in multiple educa.iona. esta.lishments including intelligent tra.ning systems,virtua. mentors,sma.t simula.ions,a.d intera.tive lea.ning ma.a.ement methods.

关键词： E-lea.ning exercise recognition online physica. educa.ion student’s hea.thca.e

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The Study of Va.ina. Fluid Urea. Crea.inine, B-HCG a.d Pla.enta. a.pha.1 Microglobulin in Dia.nosis of Prema.ure Rupture of Membra.es

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Open Journa. of Obstetrics a.d Gynecology 2019年第6期9卷 811-826页

作者： Hesha. M. Borg Mona.Oma. Gha.a.a. suliman Obstetrics & Gynecology Depa.tment Faculty of Medicine Tanta University Tanta Egypt Clinica. Pa.hology Depa.tment Faculty of Medicine Tanta University Tanta Egypt

Purpose: To eva.ua.e a.d compa.e the relia.ility, a.cura.y a.d the cost benefit ra.io of va.ina. wa.hing fluid urea. crea.inine, Beta.Huma. Chorionic Gona.otropin (β-HCG) a.d pla.enta. a.pha.Microglobulin-1 (Pa.G-1) for dia.nosis of prema.ure rupture of membra.es (PROM). Ma.eria. a.d Methods: a.dia.nostic study conducted on 70 pa.ients. The pa.ients were divided into three groups: Group a.(n = 25): (Confirmed PROM group) pa.ients who were either in la.or or not in la.or, Gesta.iona. a.e wa. from 24 weeks onwa.ds a.d fulfilled the following criteria.a.d/or two of these criteria.with low a.I positive pooling, positive nitra.ine pa.er test, positive fern test. Group B (n = 25): (Suspected PROM group) pa.ients who fulfilled the following criteria. Pa.ients with fluid lea.a.e compla.nt with nega.ive pooling a.d/or nega.ive nitra.ine pa.er test a.d/or nega.ive fern test. Group C (n = 25): (Control group with no PROM) pa.ients tha. were a.mitted to prena.a. clinic for their regula. prena.a. control visit with 24 - 42 weeks of gesta.iona. a.e without a.y compla.nt or complica.ion a.d with nega.ive pooling, nega.ive nitra.ine pa.er test a.d/or nega.ive fern test. The va.ina. wa.hing fluid urea. crea.inine, Beta.Huma. Chorionic Gona.otropin (β-HCG) a.d pla.enta. a.pha.Microglobulin-1 (Pa.G-1) were determined for dia.nosis of prema.ure rupture of membra.es (PROM). Results: Pa.G-1 detection in cervico va.ina. discha.ge wa. a.very good test for dia.nosis of PROM with high sensitivity, specificity, positive predictive va.ue, nega.ive predictive va.ue, a.cura.y a.d P-va.ue (96%, 100%, 100%, 95.84%, 97.78% a.d a.a.d Crea.inine is the second option in dia.nosis of PROM with high sensitivity, a.d specificity a.ter Pa.G-1 with a.privilege of low cost tha. Pa.G-1. Furthermore they were more a.cura.e tha. β-HCG. Conclusion: Detection of Pa.G-1 in cervico va.ina. discha.ge is promising in dia.nosis of PROM & especia.ly in those ca.es of suspected PROM a.d it sho

关键词： β-HCG Pa.G-1 Prema.ure Rupture of Membra.es (PROM)

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Segment-Ba.ed Terra.n Filtering Technique for Eleva.ion-Ba.ed Building Detection in VHR Remote Sensing Ima.es

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a.va.ces in Remote Sensing 2016年第3期5卷 192-202页

作者： a.a.ldin suliman Yun Zha.g Depa.tment of Geodesy a.d Geoma.ics Engineering University of New Brunswick Fredericton New Brunswick Canada

Building detection in very high resolution (VHR) remote sensing ima.es is crucia. for ma.y urba. pla.ning a.d ma.a.ement a.plica.ions. Since buildings a.e eleva.ed objects, the incorpora.ion of eleva.ion da.a.provides a.mea. to relia.le detection. However, a.most a.l existing methods of eleva.ion-ba.ed building detection must first genera.e a.norma.ized Digita. Surfa.e Model (nDSM). This model is genera.ed by processes of extra.ting a.d subtra.ting terra.n eleva.ions from the DSM da.a. The genera.ion of a.cura.e nDSM is still a.cha.lenging ta.k to some extent. This pa.er introduces a.segment-ba.ed terra.n filtering (SegTF) technique to filter out the terra.n eleva.ions directly using DSM eleva.ions. This technique ha. four steps: eleva.ion co-registra.ion, ima.e segmenta.ion, slope ca.cula.ion, a.d building detection. These steps of the developed technique were a.plied to a.da.a.et tha. consisted of a.VHR ima.e a.d a.corresponding DSM for detecting buildings. The result of the building detection wa. eva.ua.ed a.d found to be 100% correct with a. overa.l detection qua.ity of 93%. These va.ues indica.e a.highly relia.le a.d promising technique for ma.ping buildings in VHR ima.es.

关键词： Building Detection Terra.n Filtering Eleva.ion Norma.iza.ion VHR Ima.ery

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